Optimal Estimation of Penalty Value for On Line Multiple Choice Questions Using Simulation of Neural Networks and Virtual Students' Testing


This paper provides interesting findings for modeling of a challenging and critical pedagogical issue namely online learning assessment of Multiple Choice Questions (MCQs) analysis and evaluation. More precisely, in fulfillment of that issue's objective, this work suggests using a realistic Artificial Neural Network (ANN) model. That, explicitly… (More)
DOI: 10.1109/UKSim.2014.105


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